Diagnosing bias in data-driven algorithms for healthcare

被引：32

作者：

Wiens, Jenna ^{[1
]}

Price, W. Nicholson ^{[2
]}

Sjoding, Michael W. ^{[3
]}

机构：

[1] Univ Michigan, Div Comp Sci & Engn, Ann Arbor, MI 48109 USA

[2] Univ Michigan, Sch Law, Ann Arbor, MI 48109 USA

[3] Univ Michigan, Dept Internal Med, Ann Arbor, MI 48109 USA

来源：

NATURE MEDICINE | 2020年 / 26卷 / 01期

关键词：

D O I：

10.1038/s41591-019-0726-6

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

A recent analysis highlighting the potential for algorithms to perpetuate existing racial biases in healthcare underscores the importance of thinking carefully about the labels used during algorithm development.

引用

页码：25 / 26

页数：2

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